Systems and methods are described for providing user offers based on efficient iterative recommendation structures. In various aspects, a server invokes a bi-directional look-up interface via a lookup request, where the bi-directional look-up interface is exposed via an electronic recommendation structure. The lookup request causes the bi-directional look-up interface to return a bi-directional recommendation value. The bi-directional recommendation value indicates a likelihood of a first user selecting a first offer or a second offer. The bi-directional recommendation value is transmitted via a computer network to a client device associated with the first user upon a determination that the likelihood meets or exceeds a recommendation threshold. The client device is operative to display at least one of the first offer or the second offer.
Legal claims defining the scope of protection, as filed with the USPTO.
2. The server-based recommender system of claim 1 further comprising receiving at the recommender server, via the computer network, an indication that the first user selected a first offer.
3. The server-based recommender system of claim 2, wherein the indication that the first user selected the first offer causes the first offer to be indicated as a clipped offer on the client device.
4. The server-based recommender system of claim 2, wherein the indication that the first user selected the first offer causes the recommender server to associate the first offer with the user.
5. The server-based recommender system of claim 3, wherein the client device is operative to display an amount of clipped offers associated with the first user.
6. The server-based recommender system of claim 3, wherein the client device is operative to display a list of clipped offers associated with the first user.
7. The server-based recommender system of claim 2, wherein the indication that the first user selected the first offer causes the recommender server to update a bi-directional data recommendation structure.
8. The server-based recommender system of claim 1, wherein the recommender server updates a bi-directional data recommendation structure automatically on a periodic basis, the update including regenerating the bi-directional data recommendation structure to create an updated recommendation structure based on content ranking metrics associated with one or more users, the content ranking metrics available to the recommender server at a time of the update.
9. The server-based recommender system of claim 8 further comprising invoking, on the recommender server, an updated bi-directional look-up interface of the updated recommendation structure, the invocation of the updated bi-directional look-up interface causing the recommender server to transmit a new bi-directional recommendation value to the client device.
10. The server-based recommender system of claim 9, wherein the invocation of the bi-directional look-up interface is caused by the client device transmitting, via the computer network, a client request to the recommender server.
11. The server-based recommender system of claim 1, wherein the client device is operative to filter offers based on an offer type.
12. The server-based recommender system of claim 1, wherein the client device is operative to identify offers based on a geographical location.
14. The server-based recommender method of claim 13 further comprising receiving at the recommender server, a the computer network, an indication that the first user selected a first offer.
15. The server-based recommender method of claim 14, wherein the indication that the first user selected the first offer causes the first offer to be indicated as a clipped offer on the client device.
16. The server-based recommender method of claim 14, wherein the indication that the first user selected the first offer causes the recommender server to update a bi-directional data recommendation structure.
17. The server-based recommender method of claim 13, wherein the recommender server updates a bi-directional data recommendation structure automatically on a periodic basis, the update including regenerating the bi-directional data recommendation structure to create an updated recommendation structure based on content ranking metrics associated with one or more users, the content ranking metrics available to the recommender server at a time of the update.
18. The server-based recommender method of claim 17 further comprising invoking, on the recommender server, an updated bi-directional look-up interface of the updated recommendation structure, the invocation of the updated bi-directional look-up interface causing the recommender server to transmit a new bi-directional recommendation value to the client device.
19. The server-based recommender method of claim 18, wherein the invocation of the bi-directional look-up interface is caused by the client device transmitting, via a computer network, a client request to the recommender server.
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July 7, 2023
December 3, 2024
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